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Paper Citation Record · LEDGER

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers

As of 5 August 2026, this Paper Citation Record lists 100 of 121 outbound references and 0 inbound Pith citation observations for arXiv:2606.29844.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.29844 v1

Coverage vector

measured 100 of 121 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:11:23.742632Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 121 outbound references displayed

  • verified exact16
  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch23

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c7db823-2ac2-46bf-82e5-2f2bd89baf50 · outbound

This paper cites Aho and Jeffrey D.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Aho and Jeffrey D

Reference 1

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:6f16e70cb42a2fde4a6581a2d613e052e561e15b984c8a4b950d47f584fc671d

Observation 9597c9ab-99bd-4738-a625-1106be5c58b8 · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:5086f5a18dbd353e2777d81cbdbb2d97eeb17964e5ec55a55f3137c3c8ff470b

Observation 95aaf830-d30c-4a9d-9a07-c8386a686148 · outbound

This paper cites Chandra and Dexter C.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Chandra and Dexter C

Reference 3

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arxiv_id, observed 2026-06-30T06:14:17.875753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:c4dfef8598c577a095cc11d7f97efef0b8ac8d7d031874d078087445e5749b0f

Observation 60163078-9721-46d3-bf5b-1daa8e430882 · outbound

This paper cites Scalable training of.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Scalable training of

Reference 4

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:42a2f914067d4c8889ec5c6cc50fef484abcd555a6ef7b5f7d57082f2b124d45

Observation c06eef3f-ace7-40ea-83a6-275f08ad055a · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:769c34ce6513684b117e381f58835516a183e4371b729bfa7edd81a3e122ea65

Observation 12c862bf-8ec2-40ff-9d8e-fbaf00f61ec7 · outbound

This paper cites Tetreault , title =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Tetreault , title =

Reference 6

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:77970412c44175d99e6b57d9a597c50fad095a6f0e3c72e9819f2b5ffdada4ee

Observation dad94685-5906-4974-a813-cb51cc025620 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:a6ad275307aa90b197b1037ebc3127ea7f228b22a5bce083732362ca17faada5

Observation 1edf4214-72f8-40da-9e04-884d3a418145 · outbound

This paper cites doi: 10.18653/v1/2024.naacl-long.222.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers doi: 10.18653/v1/2024.naacl-long.222

Reference 8

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doi, observed 2026-06-30T06:14:17.872577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:47fa3eb9f36ebac10194b094be4e795cf91071e7ad66df150364cd29c3670a26

Observation a2be1a3b-20de-46e8-93f8-6cd30e5d1e1e · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 9

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:2ff87d865d75a45f8789f94203083a5088c323c6366fc12b4c5aebebf26d34e7

Observation c4d62b43-7e09-4742-be90-0594335f4d05 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Twelfth International Conference on Learning Representations , year=

Reference 10

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:d775742d02048667e50f888fce4928c34623bb832503cf6229a54963b6cc9664

Observation 7c99f72f-c111-4903-ba5e-6de28bceefe1 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Twelfth International Conference on Learning Representations , year=

Reference 11

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:dcb4e7c563864dac38efe8594660688a3f4f62d1fe64008414d717c8f1ca2bd0

Observation f6e7e82e-402e-4c13-8082-53323d551a11 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Thirteenth International Conference on Learning Representations , year=

Reference 12

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:0ad5c14ad4055730ac1eaa050eb4e5a00f58b1469eaa9bae09f036c1acc1518d

Observation 68dd57f0-804d-4657-9314-619aa1ea163a · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Twelfth International Conference on Learning Representations,

Reference 13

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:889688fac1148566f6ce7623a0823196e2def67cb3e39a4e33ad3096a2c4f428

Observation f6405706-ecc3-4731-9701-7163cc48649f · outbound

This paper cites Random-Access Infinite Context Length for Transformers , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Random-Access Infinite Context Length for Transformers , booktitle =

Reference 14

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Observation ec11c593-c292-4780-9add-15f8bb8f0254 · outbound

This paper cites SparQ Attention: Bandwidth-Efficient.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers SparQ Attention: Bandwidth-Efficient

Reference 15

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:57e0dbbb4825ec1801641239fb95799b24d992b4c100b14bd1569b5bad280d7f

Observation 7421224d-98b8-4e4b-8801-c4c5dd21a121 · outbound

This paper cites Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention , booktitle =

Reference 16

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:27ce733b40cc900433cfb63e1c649b757257249a182a8c0694509d0395184445

Observation 844c28f3-0ecf-4362-93ab-04702525e53e · outbound

This paper cites On the Expressive Flexibility of Self-Attention Matrices , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers On the Expressive Flexibility of Self-Attention Matrices , booktitle =

Reference 17

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verified exact
doi, observed 2026-06-30T06:14:17.869292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:2707341777383cc19f1f05bd94d16c24829cebecca86065fae3364f94f583925

Observation e1ab6e38-f84d-4729-8ada-a8755f797485 · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Thirteenth International Conference on Learning Representations,

Reference 18

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:4a2c22eb7dcf4aa27e24991a32823ffa3e85165a38195ae880c259611c389210

Observation 5fbe02ea-38a0-4640-9f51-582e21401076 · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Thirteenth International Conference on Learning Representations,

Reference 19

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Observation 9f14ec0f-52ff-42cd-840a-3e481f696a61 · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:b254bf2aed4fa5f1b81d716652f2e52d4af104401af0717c224570b9b447f2e0

Observation 7f838db1-b62e-4b19-84e8-1e5d0bb4213a · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention , booktitle =

Reference 21

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:d757694ab587c0338cd2dd21d3d620dd71cb3081ae6ea7a777ddb0d0b6eab036

Observation cb04915f-b1b4-434e-950a-ce400a613889 · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 22

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metadata mismatch
local_arxiv, observed 2026-06-30T06:14:17.946951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:81c9a002a483ab29ec3c28864c7305b4d409d21de47876701318c619f1bd9184

Observation 4855b6b6-2b36-4214-bbdb-25d6ff1558ef · outbound

This paper cites Improving Language Models by Retrieving from Trillions of Tokens , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Improving Language Models by Retrieving from Trillions of Tokens , booktitle =

Reference 23

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:f9c5677a5a5474bd051152f525dec21520681d601b735dbcb01f3f46f49be3ee

Observation 3ef57985-5db9-48b6-b17e-b656ef8167c2 · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:268969bed73d5adb631aa1b872977627ebc52088953add389a7a78b0f4a081e1

Observation e432ccd8-e5b3-42d8-9a23-d5b320ae794d · outbound

This paper cites Long short -term memory.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Long short -term memory

Reference 25

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doi, observed 2026-06-30T06:14:17.944605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:c7f4144222c98a6bc64b6e307aa81f80d3ea0dbf79c639fc75b6575e2ed8fd5d

Observation 84cfae08-823c-4577-b98e-889b3dae0be5 · outbound

This paper cites In: Moschitti, A., Pang, B., Daelemans, W.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers In: Moschitti, A., Pang, B., Daelemans, W

Reference 26

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doi, observed 2026-06-30T06:14:17.962196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:fa6847d2570f12f9420dc074ba4e2874b903612212cc9d02f5fc29b05fb12672

Observation 6bf33005-34fc-4450-92b6-9a11112a9177 · outbound

This paper cites 3rd International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers 3rd International Conference on Learning Representations,

Reference 27

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:2783caeb6bd5205b6c44131afffbc71672d76e14e17a630bccd7ee149e000766

Observation 9ec2e8cd-8dd7-408f-9db0-a0dc519fd829 · outbound

This paper cites Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA,

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:1dc2870cb62339b32f03b46a0c2a819cdf384a234fac8f1014c3e3260d8b703c

Observation 77c809a8-12a3-46f2-8aff-345bf477d7e5 · outbound

This paper cites TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension

Reference 29

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doi, observed 2026-06-30T06:14:17.981768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:474209aefeafe6e4dc6683831b3fdc859a191193d05f74a0ef98c9de4197a4a0

Observation 5620a8f4-f0ec-4221-bec2-a8407c6722eb · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics,

Reference 31

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:6edd098e4bca78d853f223c91699454688d08743f5fe39326aea10e08a32e46f

Observation ad3df5c0-0d48-4e9c-b25f-258c4223f06d · outbound

This paper cites Scaling Laws for Neural Language Models.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Scaling Laws for Neural Language Models

Reference 33

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local_arxiv, observed 2026-06-30T06:14:19.035573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:50cf53944586ee7040b679a8ded54875d7709df6feec6099dd6d144aade01e62

Observation 530b7474-78b7-4c25-a5c2-993fc1431583 · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:2ba4bf8534dab71246250fe94efe14c599d96a771160d60715a3211f2f7d36e3

Observation db15e7b2-039e-4c18-aefb-210f5bc9f296 · outbound

This paper cites Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , url =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , url =

Reference 35

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:2f815be4d669c7abf42520d4846cfa0e64ed0a09fe9addb47e29a16e0c6b0431

Observation b2d54160-a9c3-4a3d-ac6a-031c8582194b · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , year =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , year =

Reference 36

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doi, observed 2026-06-30T06:14:17.975326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:16f60164ad6f574a4e5691a7298c11920e8284757bda8c9b5a9f45642fffbb97

Observation fa1f50d1-03bf-453c-9c22-2a8ad28448d2 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Proceedings of the 37th International Conference on Machine Learning,

Reference 37

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:ab8b7aad838481e1f7fb02f2a7000e23c5ea533afca512f29bc53ee6e7b29e98

Observation d23aead0-df9a-454e-84ee-5ad3b1f062e6 · outbound

This paper cites In-context Learning and Induction Heads.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers In-context Learning and Induction Heads

Reference 38

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metadata mismatch
local_arxiv, observed 2026-06-30T06:14:19.024861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:fd23061bdf4e267124eff6e2c5b94026a060b9b39afa90cf41a628cc4839cc1f

Observation 072931ce-069a-4d23-8bfa-4c4c644b9c55 · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 39

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:2ad340d158bd10dd9bc33981dabbedc29823468a9bd346745ba299b1bf69f6a6

Observation 617a95fc-f283-40bb-ad32-c14117d02e07 · outbound

This paper cites The Tenth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Tenth International Conference on Learning Representations,

Reference 40

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:269957384111e997bcffe4e5c48deea2354d5dad2383b9500ef380a2d0680ae3

Observation b79a50a5-cd4c-4059-aabf-2516408e9279 · outbound

This paper cites The Tenth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Tenth International Conference on Learning Representations,

Reference 41

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:117d1ca61c44c8134462c964c0d60fbebf7b20505eef2a0c75c570edb37809b5

Observation 6658e978-a9cf-46e7-9249-6860984ee25b · outbound

This paper cites 2025 , eprint=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers 2025 , eprint=

Reference 43

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:af13b7f6096a2fc2cb314ce5f58ca2ffb35726980ce26291ff3fd963cf4a4548

Observation 2414cd1a-b8be-4d72-b1f2-80a45c6d93e4 · outbound

This paper cites Evaluating verifiability in generative search engines.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Evaluating verifiability in generative search engines

Reference 44

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doi, observed 2026-06-30T06:14:17.907745Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:90fc9fc716fdd40e8c00ad8b2a6ca5b4cd35a28667ca51f757d4043d2cdd9cf5

Observation a3a5e2e7-fd65-4617-9c23-616c5ca2a916 · outbound

This paper cites International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers International Conference on Machine Learning,

Reference 45

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:39a0a4f4cb3ceb51340426034fd2d22b35202814b4f364d82eabcdff90c3cbb3

Observation bb11a349-a66a-44c5-86b7-48c6aebc58ef · outbound

This paper cites International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers International Conference on Machine Learning,

Reference 46

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:372b100b0c212bf6d67f3cae32c1cefcb81f3da86912b88e3593f74e4fbdf6b9

Observation 3e125952-45ed-4321-b149-c93a964746d1 · outbound

This paper cites Enabling large language models to generate text with citations.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Enabling large language models to generate text with citations

Reference 47

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doi, observed 2026-06-30T06:14:17.966179Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:eff2b82515958efcd395bf08e5842f210f5fef017fb008c9a3d59d4ee4e223b5

Observation 8c4d7934-d9ef-408c-9c44-ee2575e2acc7 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 48

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:8c1fac90aca722d93fbba5cd40f53b741d002fec1c3eda02aff9089cd42c9a59

Observation d94f1102-1ed9-4d1f-8b58-6c765fe6e640 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 49

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local_arxiv, observed 2026-06-30T06:14:17.896880Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:7e40d326177b0afe250a574d5ab4e1f54181895b37f0ff1ca1e4f029f6028047

Observation a95aabf5-3bc0-4d16-ac36-6148ba30704a · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Gemma 2: Improving Open Language Models at a Practical Size

Reference 50

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local_arxiv, observed 2026-06-30T06:14:19.019157Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:d5f9d3c1f77fec54c991372968fbfa6ab34e198d49f3d483002b59ccfd29fcb9

Observation 3f7bf0de-5d66-4c76-adf6-8ad6a3bebbb6 · outbound

This paper cites Qwen2.5 Technical Report.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Qwen2.5 Technical Report

Reference 51

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local_arxiv, observed 2026-06-30T06:14:19.039494Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:9ea1b82d35a9c01f4ae69995ab61da0b67c083272cd0fd2946ddaa87cf1bdc87

Observation f583b4d6-1128-437d-8587-7cbe14e5b2d5 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Yi: Open Foundation Models by 01.AI

Reference 52

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local_arxiv, observed 2026-06-30T06:14:19.034810Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:dfb421a9d61ebd242f64c3e38a26d34d78aa07eeac77d1ff4baaf47e5541556c

Observation 390d967e-00ab-4d7b-998d-6a98a969ac33 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Jamba: A Hybrid Transformer-Mamba Language Model

Reference 53

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local_arxiv, observed 2026-06-30T06:14:19.015937Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:9605801ec216184cbf50ebf2daeb8c23a2b3cd9713524c49d5868a245a94cbe7

Observation 459754d1-a9fb-4fed-880d-6754bd8533f7 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 54

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local_arxiv, observed 2026-06-30T06:14:19.018738Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:de6479cb417e906b275367b0907129f6974e8631975ead0d9f53c47852170291

Observation 69231bdf-0594-4da1-990f-722434ee76a3 · outbound

This paper cites Mixtral of Experts.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Mixtral of Experts

Reference 55

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local_arxiv, observed 2026-06-30T06:14:19.022068Z

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:3de53c20228ddb2549c1d0774e3382f1dc0e691c33537e1df1ad0adaa8baac4d

Observation a0a12c70-926e-4d7e-9657-bebd358191a4 · outbound

This paper cites Journal on Machine Learning Research , volume = 25, pages =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Journal on Machine Learning Research , volume = 25, pages =

Reference 57

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:c1982359a158b6284a2c7d3265d86ce56b68e0eade62f3227b8627f3ab074c39

Observation c50007fb-2614-4f4f-8b88-588620925eaa · outbound

This paper cites First Conference on Language Modeling,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers First Conference on Language Modeling,

Reference 58

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:63a64cc90841641cf03432165fa702f3ca749cf92401c03092bfa0da2ca6834e

Observation 0736ff25-d907-46f3-aa54-addb5a5bf80f · outbound

This paper cites Forty-first International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Forty-first International Conference on Machine Learning,

Reference 59

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:0670796f94ed7af8440d6cbc1aa64f52fdd7f874bfab2ae99d6b0dd2eb97eb57

Observation 1ca3baea-abe3-4d30-8914-5a057f161710 · outbound

This paper cites Forty-first International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Forty-first International Conference on Machine Learning,

Reference 60

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:2968824e93880a9cb26891409689eabfb88a57c888fcc540748866219da21c6c

Observation 8ed6e034-5516-4ac6-ac3c-610a67bac9e0 · outbound

This paper cites Can Mamba Learn How To Learn?.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Can Mamba Learn How To Learn?

Reference 61

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:e799947f45083960658156b35f174b2e8384a6684c0ecc96d2bf2c3cc037e18a

Observation 930ba89f-79c4-4cd2-8ad8-b6fd3fb2df94 · outbound

This paper cites Forty-first International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Forty-first International Conference on Machine Learning,

Reference 62

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:e0d8f466df5ed64f9c77365cb061fa9fe350dcfacba11ad858a8c5ce21696b62

Observation 138568a2-e541-4917-bd1e-4f31687d4283 · outbound

This paper cites Forty-first International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Forty-first International Conference on Machine Learning,

Reference 63

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:d721e1f1a9e393ad2773c43904e47943d9ba02ae88373d833f6c06a4a87880fb

Observation febca6fc-66b3-4106-985f-ff4d1ee9013d · outbound

This paper cites Forty-first International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Forty-first International Conference on Machine Learning,

Reference 64

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:804ea00f3a2fda16c401aefebcc9ff30d3eb721b6850c6ccaf12a527647b8c1f

Observation 7859ad6d-f450-4825-918e-9459f2c0b01a · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Twelfth International Conference on Learning Representations,

Reference 65

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:36a9811c2bfdb835d0ca16c7cbbf9d068a780fffa37323a462d541e9ccb74c1e

Observation daeaa7b9-3a87-4375-9e89-f80970353f3d · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Twelfth International Conference on Learning Representations,

Reference 66

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:d82c229a5f81323576cfc7db3f305eecdf5572dab5281987f60ef05d38a71a49

Observation 0530269c-426f-41a3-a2b9-73ec326e7b70 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Twelfth International Conference on Learning Representations,

Reference 67

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:676fb1d134af64c7cbfc53b1eb7ff89a20740ff2512b22c6a9a5d7e08c7bcb69

Observation ec299efd-16d5-4f7e-bf8f-a4733b05e2f6 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Twelfth International Conference on Learning Representations,

Reference 68

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:6043b7d4897534cdbde4210b7579cfb8e4462b1fc4854c9f040432cb57dfa42d

Observation b3000106-9e08-4f98-87b3-f18bb09635de · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:3bff4e4cca8e9d87bb5a2879cf377e067d11ea4e2e817e34268313b22ff49dec

Observation 5ac0ef00-58d6-4776-8f30-27da912ee8a4 · outbound

This paper cites International Conference on Computational Linguistics,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers International Conference on Computational Linguistics,

Reference 70

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:19cfbcf1bdbb3ca97853ca2c0e3695e56c57ada25c8bc51bcc4498b2c9df6076

Observation e9a85cac-36fa-45f5-87d2-f06e0ec9fc3f · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Thirteenth International Conference on Learning Representations , year=

Reference 71

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:3313e64c27c777d2bbba1abc37f3c06dcb51706bf31dbc1a907049a0925c9db4

Observation 3ce1307d-fa80-43e3-b6c8-b0f0fc850615 · outbound

This paper cites Proceedings of the Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization@ACL 2005, Ann Arbor, Michigan, USA, June 29, 2005 , pages =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Proceedings of the Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization@ACL 2005, Ann Arbor, Michigan, USA, June 29, 2005 , pages =

Reference 72

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:9996c1aeb7f292c8be05490b13bc6393efec1cdb567bfbb9d71e6d4b2f06f6d5

Observation 45fd213f-58d2-4b4f-bdc8-ef9bb28fcf08 · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 73

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:09f77f8245a7d1153b1b2946908fc2731ba7dbb29841031887d4ee12375b7196

Observation c70324fb-e046-4423-86e3-5bef259e5e93 · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 74

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:1061fcb208b33b398ade994a9680e2bae28dc3dcf189a32b2cf016b7523e47b3

Observation 17067d21-2b84-46aa-8e4d-57e247ccbe5d · outbound

This paper cites LongBench.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers LongBench

Reference 75

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verified exact
doi, observed 2026-06-30T06:14:17.910456Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:8bf8223b67716744c53b466b2df2ef54498beb7e9c33b2febadc07137fdf4ece

Observation 4d2c6405-ca41-4ea8-985a-14bb5fd84f8f · outbound

This paper cites an unresolved cited work.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Unresolved cited work

Reference 76

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source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:bfc24f812b9f0ffe83efbc1e60043b502057012fe2b7ff7a6e2f770c9254d822

Observation 11948054-e5ef-412a-a477-cd7d4219700c · outbound

This paper cites Efficient Classification of Long Documents via State-Space Models , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Efficient Classification of Long Documents via State-Space Models , booktitle =

Reference 77

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verified exact
doi, observed 2026-06-30T06:14:17.949283Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:24ebee6e9b3b5152e57ba137327a56a87dd8e89fba58789a250f075c805feab2

Observation cda2ee8c-19ca-45f6-8501-72ac2884b987 · outbound

This paper cites ReGLA: Refining Gated Linear Attention , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers ReGLA: Refining Gated Linear Attention , booktitle =

Reference 78

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verified exact
doi, observed 2026-06-30T06:14:17.927912Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:0afd60264b1e67913831d346a304ff3b3fee9fe3e8109b25e88f26f6dfe23250

Observation f3f8182f-2bde-423a-92d5-304f40faf09e · outbound

This paper cites Accelerating Prefilling via Decoding-time Contribution Sparsity.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Accelerating Prefilling via Decoding-time Contribution Sparsity

Reference 79

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:8738b8bab080495502f8b25adc6b547c45bd1a15c8e1abb5114c51e4d2c66fb0

Observation 4919f65a-153b-44dc-ba30-f67b74b6cf6e · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Efficient Memory Management for Large Language Model Serving with PagedAttention , booktitle =

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:14:17.925153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:b572292bd9ea38cf1b99c7d196479a0942f1ec35591a158d48bf4fccf134254e

Observation f1378b9f-fa3e-4aa6-baab-3bb0db8318f5 · outbound

This paper cites GPT-4 Technical Report.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers GPT-4 Technical Report

Reference 81

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T06:14:17.964219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:ac281625f13ad233a34f34ecf6b1b362ef71cdd024aea3d2fa78ca10557d7ea4

Observation ea2ff44d-9616-498c-a0ae-369747185a57 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers LLaMA: Open and Efficient Foundation Language Models

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-06-30T06:14:17.904552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:4da1a63872e4c9f78409da7d1ec3d0fe0120a189eae31c045fdeddcfeb346ed6

Observation 88874431-241c-4dbd-be1f-8800f66ff501 · outbound

This paper cites The Llama 3 Herd of Models.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Llama 3 Herd of Models

Reference 83

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T06:14:17.968813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:4dec524054d04a8a7535466090ade47346eada1e8c246b6dcbcb9652c6f8d052

Observation fbf78d4f-36d4-4c84-b400-a1ca3fd9a5c6 · outbound

This paper cites Qwen3 Technical Report.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Qwen3 Technical Report

Reference 84

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T06:14:17.956953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:664ac78aa2a7b4474efb3788aa394de1d29d71f9ced8ca2bba562058fd816fdf

Observation 0fd509a2-17eb-4091-8b26-dd77a6bb43e6 · outbound

This paper cites Longformer: The Long-Document Transformer.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Longformer: The Long-Document Transformer

Reference 85

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T06:14:19.028909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:f09d86baebff55605ce5620c1e1c05592b2efb3c714b198a82ff2baa2a184271

Observation d6b54d65-c204-46f8-905a-ec391b0162f4 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Fast Transformer Decoding: One Write-Head is All You Need

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-06-30T06:14:19.015154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:07bd1cb0e2b22f1610b02e11ccb816513daa0aa615de5476b075db6bda7de66c

Observation 2733dc2e-24fd-4ca1-a428-7372dfe3ef78 · outbound

This paper cites GQA : Training generalized multi-query transformer models from multi-head checkpoints.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers GQA : Training generalized multi-query transformer models from multi-head checkpoints

Reference 87

Resolution
metadata mismatch
doi, observed 2026-06-30T06:14:17.943663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:f17c2b1ceb854292c8d455ef9b980dac428c1dc4e0fe130bd4718554ac49cd8a

Observation fe18fa74-5313-4e88-a221-90f354625107 · outbound

This paper cites Under review.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Under review

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:14:19.025990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:ced895e924bb972984f34f2886b8f94afc6553aa4575b4c5606b5d55a27e8344

Observation fb2f665e-b249-4dbd-a6d4-eb53e9909cd7 · outbound

This paper cites Are Decoder-Only Language Models Better than Encoder-Only Language Models in Understanding Word Meaning?.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Are Decoder-Only Language Models Better than Encoder-Only Language Models in Understanding Word Meaning?

Reference 90

Resolution
verified exact
doi, observed 2026-06-30T06:14:17.930409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:b70143fac3911829098bad7daf95a0803e3f4002ec215a13a5200b7b4bcbda48

Observation 6e6a2150-7a3c-4755-9f5d-22f4453f34c8 · outbound

This paper cites DeTriever: Decoder-representation-based Retriever for Improving.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers DeTriever: Decoder-representation-based Retriever for Improving

Reference 91

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:c56891fadad5451d9f27f813dd739116d3940d67d51a7aecfe4faa6736ff3465

Observation b4cf94b4-2518-49b4-a6c6-1b3ad783f1f1 · outbound

This paper cites NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following , year=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following , year=

Reference 94

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:1c50484941d51481a824154f2d00decf4bd834789546b5784c43a76953680f2b

Observation 05aeba3b-0582-44f7-9d3c-69f7309d4e74 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Long-context LLMs Struggle with Long In-context Learning

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:14:17.965737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:7eeb1655d72d210328fe280b3032e4febb538137194eee1a31d03d7b208c76fe

Observation 0d017267-820b-4df7-b1f8-66940d5f1c33 · outbound

This paper cites How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities , booktitle =

Reference 96

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:c9c72897fc6c36968eb337c086a6124e901ac690fdc8d94ad559a4c6e6212342

Observation 0ffed6e6-bc53-4a79-91c8-19f4a8560ca8 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Dense Passage Retrieval for Open-Domain Question Answering

Reference 97

Resolution
verified exact
doi, observed 2026-06-30T06:14:17.978453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:eb46525b9a6e53b2769858a08dad452ff5a35208d2c29f8fc8199e7afa140f95

Observation 2dea12d1-5b1a-483d-b2b5-3f92d309faaa · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Proceedings of the 37th International Conference on Machine Learning,

Reference 98

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:b8c44656f1dc1d4db7c134776987c3d91c350624db5984472b7cfeb6f4cc3a20

Observation da87887c-0802-4159-ab76-762d3d719011 · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models , journal =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Atlas: Few-shot Learning with Retrieval Augmented Language Models , journal =

Reference 99

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unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:fb81e23adf58ed021440bdcd93d1493147032e68b34199a557d796e382f1d7ea

Observation bdb3f1e7-b986-4629-a9dd-3d3bdf1f17aa · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers The Thirteenth International Conference on Learning Representations , year=

Reference 100

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:0cbe13787673d93a9c04dbb4ce01a139a81e1489ed283ac1343d47e1816d075d

Observation 411483e9-f65a-4870-b64f-b9975ccd2b0c · outbound

This paper cites Mistral 7B.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Mistral 7B

Reference 101

Resolution
verified exact
local_arxiv, observed 2026-06-30T06:14:17.954054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:72dc5bc426b6a5194221073f833393ed58ed8b982a9d0076c46f1648221f75af

Observation 7ccea5c7-66bd-4881-9ced-e0f0cd48fd39 · outbound

This paper cites 2019 , eprint=.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers 2019 , eprint=

Reference 102

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:a86143739fc7298616a4396ec32b1be0d02f1e422eb30fe931f1fe01c7ce2435

Observation e827a778-dcea-495b-9cb9-0ec0b488a731 · outbound

This paper cites SparseBERT: Rethinking the Importance Analysis in Self-attention , booktitle =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers SparseBERT: Rethinking the Importance Analysis in Self-attention , booktitle =

Reference 103

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:17d8796a526a894d63f9602261a2116351d1bb261a45ef4280c7392c4bae7e8b

Observation b5dc1aca-f97f-4b6b-b56e-f1f328b8022f · outbound

This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:14:17.915989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:682bfdb57a5f8a5e9a7d7707f61666e6e01640cba2dd9c9df0bf22fa9b53051f

Observation 56af077c-4cc4-46df-b367-cd22fb5271cb · outbound

This paper cites 8th International Conference on Learning Representations,.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers 8th International Conference on Learning Representations,

Reference 105

Resolution
unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:3964404eece8ee522a97366a3ade0b88d5e9b7a897f8c6baaa8a8eeb6f6a2c26

Observation 4e78b377-09a6-4a68-9174-7d70dbc169de · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Lost in the Middle: How Language Models Use Long Contexts

Reference 106

Resolution
malformed identifier
doi_truncated, observed 2026-06-30T06:14:17.918553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:a4511cc47e71947455801b8ab1d43766ecbf34a6ff09f6e000d65fa123fd8d77

Observation e4b463a2-54d8-4315-93eb-1327c632693b · outbound

This paper cites Ponti , title =.

MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers Ponti , title =

Reference 107

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unresolved
no resolver link, observed 2026-06-30T06:11:23.742632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-30T06:11:23.742632Z digest=sha256:cbfa36e476d9b11b7d8337f0d5d2b7091c916309fb0079c23fa8bd6b8b9df189

Pith citing papers

No inbound Pith citation observations are available.